boxer3d
An iPhone app that detects objects in AR and places 3D bounding boxes around them, using LiDAR, YOLO and BoxerNet. A demo of 3D object detection on a phone.
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Share on XNo license declared
Overview
Boxer3D is an iPhone app that detects everyday objects and draws 3D oriented bounding boxes around them in augmented reality. It uses YOLO11n for 2D detection, then lifts the results to 3D with Meta Research's BoxerNet, using LiDAR depth and ARKit camera pose. The boxes are rendered as wireframes with SceneKit, anchored in the real world. It works as a demo of 3D detection running on a phone.
Key features
- YOLO11n detects objects across 80 COCO classes
- BoxerNet lifts 2D boxes to 3D oriented boxes
- Uses LiDAR depth and ARKit pose and gravity
- SceneKit draws wireframe boxes in AR
Best for
Developers exploring on-device 3D object detection on iOS. It needs an iPhone 12 Pro or later with LiDAR, iOS 16 or newer, and about 450 MB for models.
- Upstream
- Barath19/Boxer3D
- Fork on GitHub
- Guo-astro/boxer3d
- Upstream stars
- 432
- Category
- Finance, data and research
- Language
- Swift
- License
- No license declaredWithout a license, the author keeps all rights. Ask the upstream owner before reusing the code.
- Forked
- 2026-04-13
- Sync status
- In syncLast synced 2026-10-19
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